amp的CPU_GPU计算性能测试

#include
#include
#include

#define COUNT 10000

float nickName_GPU[COUNT];
float nickName_CPU[COUNT];

int main(void)
{
LARGE_INTEGER freq;
LARGE_INTEGER strt;
LARGE_INTEGER ed;
QueryPerformanceFrequency(&freq);
QueryPerformanceCounter(&strt);

concurrency::array_view myView(COUNT, nickName_GPU); //将数据打入显存
concurrency::parallel_for_each(myView.extent, [=] (concurrency::index<1> idx) restrict(amp)
{
for(int i = 0; i < 100000; i++)
{
myView[idx] = (myView[idx] + 0.1f) / 2.3f;
}
});

myView.synchronize();//显式等待GPU计算完成并将数据打回内存

QueryPerformanceCounter(&ed);
printf("GPU耗时: %d 毫秒\r\n", (ed.QuadPart - strt.QuadPart) * 1000 / freq.QuadPart);
QueryPerformanceCounter(&strt);

#pragma omp parallel
for(int idx = 0; idx < COUNT; idx++)
{
for(int i = 0; i < 100000; i++)
{
nickName_CPU[idx] = (nickName_CPU[idx] + 0.1f) / 2.3f;
}
}
QueryPerformanceCounter(&ed);
printf("CPU耗时: %d 毫秒\r\n", (ed.QuadPart - strt.QuadPart) * 1000 / freq.QuadPart);
for(int idx = 0; idx < COUNT; idx++)
{
if(nickName_CPU[idx] != nickName_GPU[idx])
{
puts("CPU和GPU的计算结果不相符！");
getchar();
return 0;
}
}
puts("测试结束");
getchar();
return 0;
}